Adam Wick leads the systems software group at Galois, Inc., an R&D company in Portland, OR. Galois does research in formal methods, programming language development, operating systems, compiler engineering, and security. Dr. Wick has worked in a variety of fields at all level of the software stack, from hardware synthesis to web applications, but has recently focused on network and operating system security. Amongst his current jobs, he is also the maintainer of the Haskell Lightweight Virtual Machine and oversees Galois' projects using this technology. @acwpdx

The talk will explain why category theory is of interest for developers. The principle of Propositions as Types describes a correspondence between, on the one hand, propositions and proofs in logic, and, on the other, types and programs in computing. And, on the third hand, we have category theory! Assuming only high school maths, the talk will explain how categories model three basic data types: products (logical and), sums (logical or), and functions (logical...

More developers are writing cryptographic code, especially in regulated sectors like health care and financial services, but the code suffers from a combination of poor programming interfaces and a lack of developer training. In one study, 83% of cryptographic flaws (CVEs) were due to programmer misuse of otherwise correct libraries. While solutions like LetsEncrypt have made HTTPS cheaper, encryption of data in transit only covers a small part of the problem...

Real-time collaborative editing gives users the illusion that they are editing the same document, but in reality, each collaborator makes edits to their own local replica of the document to ensure a low-latency typing experience. Each user's local operations must then be transmitted to remote collaborators and integrated so that the contents of every replica remain equivalent and that the intentions behind each participant's edits are preserved. This challenge has been the focus of nearly...

Developing efficient and scalable software analysis tools is a tedious and very difficult task. First, due to the undecidability of the verification problem, tools, must be highly tuned and engineered to provide reasonable efficiency and precision trade-offs. Second, different programming languages come with very diverse assortments of syntactic and semantic features. Third, the diverse encoding of the verification problem makes the integration with other...

We all know how to program CPUs, making it easy to prototype new ideas, build new applications, and share them with others. Today it is commonplace to program not just CPUs, but almost any domain-specific processors, such as GPUs, DSPs, and even machine-learning accelerators (e.g., TPUs). Unfortunately networking has long been an exception to this trend; the network data plane -- packet processing -- has been dictated by fixed-function switching chips, which help...

Learn about machine learning in practice and on the horizon. Learn about ML at Quora, Uber's Michelangelo, ML workflow with Netflix Meson and topics on Bots, Conversational interfaces, automation, and deployment practices in the space.